Lecturers/instructors - request a free digital inspection copy here

With a little help from his weird band of characters the Fourth Edition of the award-winning book continues, with its unique blend of humour and collection of bizarre examples, to bring statistics - from first principles to advanced concepts - well and truly to life using IBM SPSS Statistics.

Lecturers: with WebAssign® you can manage and monitor your students' progress quickly and easily online or give them more opportunities to practise!
Ideal for short courses, choose to use WebAssign® alongside the Fourth Edition of Andy Field's textbook to quickly set up courses and schedule assignments (using the 2159 questions available) and track individual performance so you can spot in an instant where more instruction or practice is needed. If not using for fomal assessment, WebAssign® still lets you set questions for your students to practise over and over again. They get instant feedback and also links to the relevant chapter or section in the integral ebook to help them work out the correct solution.

For more information on how to integrate WebAssign® into a forthcoming course or to arrange a class test please contact your local SAGE representative for more details. (Students please note: access to WebAssign® is dependent not only on the purchase of a student access code (ISBN: 9781446273043) but also a username, institution code and password supplied by your course leader/instructor).

SAGE MobileStudy - study where and when you like
Scan any QR code within the book to access revision material on a smartphone or tablet such as Cramming Sam's Study tips, flashcard glossaries, interactive multiple choice questionnaires and more. Click here to take a look (if you're accessing the site from a desktop you'll be taken to the Companion Website instead; look out for the MobileStudy icon to show you which pages are also available on the MobileStudy site).

See how Andy's book is changing the landscape for textbooks through the use of technology!

Support materials for a wide range of disciplines
Education and Sport Sciences lecturer support materials with enhanced ones for Psychology, Business and Management and the Health Sciences on the enhanced Companion Website make the book even more relevant to a wider range of subjects across the social sciences and where statistics is taught to a cross-disciplinary audience.

Other major new updates include:

Now fully compatible with recent IBM SPSS Statistics releases.
Two new characters! Statistical cult leader Oditi provides students with access to video clips via his Lantern to help further understanding of statistical/SPSS concepts, while Confusius helps students to make better sense of statistical terms.
The enhanced Companion Website offers plenty of lecturer and student material to use in conjunction with the textbook. These include PowerPoints and subject-specific testbanks for lecturers as well as answers to the Smart Alex tasks at the end of the each chapter; datafiles for testing problems in SPSS; flashcards of key concepts; self-assessment multiple-choice questions; and online videos of key statistical and SPSS procedures discussed in the textbook for students.

Video Links

Go behind the scenes of the Fourth Edition, and find out about the man behind the book
Watch Andy introduce SAGE MobileStudy
Ask Andy Anything: Teaching stats... and Robbie Williams' head
Ask Andy Anything: Gibson or Fender
Ask Andy Anything: The one part of the book Andy hated writing


Available with Perusall—an eBook that makes it easier to prepare for class
Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.

Why Is My Evil Lecturer Forcing Me to Learn Statistics?

What Will This Chapter Tell Me?

What The Hell Am I Doing Here? I Don't Belong Here

Initial Observation: Finding Something That Needs Explaining

Generating Theories And Testing Them

Collect Data to Test Your Theory

Analyzing Data

Reporting Data

Everything You Never Wanted to Know about Statistics

What Will This Chapter Tell Me?

Building Statistical Models

Populations And Samples

Statistical Models

Going Beyond The Data

Using Statistical Models To Test Research Questions

Modern Approaches toTheory Testing

Reporting Statistical Models

The IBM SPSS Statistics Environment

What Will This Chapter Tell Me?

Versions Of IBM SPSS Statistics

Windows versus MacOS

Getting Started

The Data Editor

Importing Data

The SPSS Viewer

Exporting SPSS Output

The Syntax Editor

Saving Files

Retrieving A File

Exploring Data with Graphs

What Will This Chapter Tell Me?

The Art Of Presenting Data

The SPSS Chart Builder

Histograms

Boxplots (Box-Whisker Diagrams)

Graphing Means: Bar Charts And Error Bars

Line Charts

Graphing Relationships: The Scatterplot

Editing Graphs

The Best of Bias

What Will This Chapter Tell Me?

What is Bias?

Spotting Bias

Reducing Bias

Non-parametric Models

What Will This Chapter Tell Me?

When to Use Non-parametric Tests

General Procedure on Non-parametric Tests in SPSS

Comparing Teo Independent Conditions: The Wilcox Rank-sum Test and Mann-Whitney Test

Comparing Two Related Conditions: the Wilcoxon Signed-rank Test

Differences Between Several Independent Groups: The Kruskal-Wallis Test

Differences Between Several Related Groups: Friedman's ANOVA

Correlation

What Will This Chapter Tell Me?

Modelling Relationships

Data Entry For Correlation Analysis Using SPSS

Bivariate Correlation

Partial Correlation

Comparing Correlations

Calculating The Effect Size

How To Report Correlation Coefficents

Regression

What Will This Chapter Tell Me?

An Introduction To Regression

Bias in Regression Models?

Regression Using SPSS: One Predictor

Multiple Regression

Regression With Several Predictors Using SPSS

Interpreting Multiple Regression

Comparing Two Means

What Will This Chapter Tell Me?

Looking at Differences

The t-test

Assumptions of the t-test

The Independent t-test Using SPSS

Paired-samples t-test Using SPSS

Between Groups or Repeated Measures

What is I Violate the Test Assumptions

Moderation, Mediation and More Regression

What Will This Chapter Tell Me?

Installing Custom Dialog Boxes in SPSS

Moderation: Interactions in Regression

Mediation

Categorical Predictors in Regression

Comparing Several Means: ANOVA (GLM 1)

What Will This Chapter Tell Me?

The Theory Behind Anova

Assumptions of Anova

Planned Contrasts

Post hoc Procedures

Running One-way Anova in SPSS

Output From One-way Anova

Calculating the Effect Size

Reporting Results From One-way Independent Anova

Analysis of Covariance, ANCOVA (GLM 2)

What Will This Chapter Tell Me?

What Is ANCOVA?

Assumptions And Issues In ANCOVA

Conducting ANCOVA in SPSS

Interpreting the Output From ANCOVA

Testing The Assumption Of Homogeneity Of Regression Slopes

Calculating The Effect Size

Reporting Results

Factorial ANOVA (GLM 3)

What Will This Chapter Tell Me?

Theory Of Factorial ANOVA (Independent Designs)

Assumptions of Factorial ANOVA

Factorial ANOVA using SPSS

Output From Factorial ANOVA

Interpreting Interaction Graphs

Calculating Effect Sizes

Reporting The Results Of Two-Way ANOVA

Repeated-Measures Designs (GLM 4)

What Will This Chapter Tell Me?

Introduction To Repeated Measures Designs

Theory Of One-Way Repeated-Measures ANOVA

Assumptions in Repeated-Measures ANOVA

One-Way Repeated Measures ANOVA Using SPSS

Output For One-Way Repeated-Measures ANOVA

Effect Sizes For Repeated-Measures ANOVA

Reporting One-Way Repeated-Measures ANOVA

Factorial Repeated-Measures Designs

Output For Factorial Repeated-Measures ANOVA

Effect Sizes For Factorial Repeated-Measures ANOVA

Reporting The Results From Factorial Repeated-Measures ANOVA

Mixed Design ANOVA (GLM 5)

What Will This Chapter Tell Me?

Mixed Designs

Assumptions in Mixed Designs

What Do Men And Women Look For In A Partner?

Mixed ANOVA in SPSS

Output For Mixed Factorial ANOVA

Calculating Effect Sizes

Reporting The Results Of Mixed ANOVA

Multivariate Analysis of Variance (MANOVA)

What Will This Chapter Tell Me?

When To Use MANOVA

Introduction

Theory Of MANOVA

Practical Issues When Conducting MANOVA

MANOVA Using SPSS

Output From MANOVA

Reporting Results From MANOVA

Following Up MANOVA With Discriminant Analysis

Output From The Discriminant Analysis

Reporting Results From from Discriminant Analysis

The Final Interpretation

Exploratory Factor Analysis

What Will This Chapter Tell Me?

When To Use Factor Analysis

Factors and Components

Discovering Factors

Research Example

Running The Analysis

Interpreting Output From SPSS

How To Report Factor Analysis

Reliability Analysis

How To Report Reliability Analysis

Categorical Data

What Will This Chapter Tell Me?

Analysing Categorical Data

Theory Of Analysing Categorical Data

Assumptions When Analysing Categorical Data

Doing Chi-Square in SPSS

Log-Linear Analysis Using SPSS

Effect Sizes In Loglinear Analysis

Reporting The Results Of Loglinear Analysis

Logistic Regression

What Will This Chapter Tell Me?

Background to Logistic Regression

What are the Principles Behind Logistic Regression?

Sources of Bias and Common Problems

Binary Logistic Regression: An Example That Will Make You Feel Eel

Interpreting Logistic Regression

How to Report Logistic Regression

Testing Assumptions: Another Example

Predicting Several Categories: Multinominal Logistic Regression

Multilevel Linear Models

What Will This Chapter Tell Me?

Hierarchical Data

Theory Of Multilevel Linear Models

The Multilevel Model

Some Practical Issues

Multilevel Modelling Using SPSS

Growth Models

How To Report A Multilevel Model

A Message From The Octopus of Inescapable Despair

Epilogue

Nice Emails

Everybody Thinks I'm A Statistician

Craziness on a Grand Scale